Plain-English definitions of the terms used across SocialScalr documentation. If you've seen a term you don't recognise, it's probably here.
The percentage of LinkedIn connection requests that the recipient approves. Calculated as accepted divided by sent. Healthy SocialScalr campaigns sit at 25 to 45 percent. Below 10 percent means your targeting or note is off; LinkedIn also reads sub-10 percent as spam behaviour.
The percentage of LinkedIn messages that get a response. Calculated as replied divided by messaged. A reply rate over 15 percent on a cold outbound sequence is excellent. Variant testing on the first message is the highest-leverage way to move this number.
A reduced-activity mode for new or dormant LinkedIn accounts. SocialScalr's warm-up runs at 30 percent of normal daily limits for the first week, with longer human-like pauses between actions. Always enable warm-up for accounts under 30 days old.
An ordered series of follow-up messages that fire after a connection request is accepted. SocialScalr supports up to 4 follow-ups, each with its own delay in days. The sequence stops automatically when the lead replies, disconnects, or you manually pause the campaign.
The pacing engine that spreads SocialScalr actions over a working-hours window and inserts randomised delays so the activity pattern looks human-driven. Throttle parameters are bounded by your daily caps and warm-up state.
The maximum number of a given action (invite, message, withdrawal, scrape) SocialScalr will send per day for one account. Configurable per-action in Settings, with green / amber / red zones that correspond to LinkedIn risk levels.
A placeholder in double curly braces (like {{first_name}} or {{company}}) that SocialScalr replaces with lead-specific data when the action runs. Used in connection notes and follow-up messages for personalisation.
A LinkedIn profile that has been scraped or manually added to a SocialScalr campaign. Tracked through the pipeline stages and surfaced in the Pipeline and Contacts views.
Where a lead currently sits in the outbound funnel. SocialScalr stages: new, invited, connected, messaged, replied, won, lost. Stages auto-advance based on extension activity; you can also drag-and-drop to override.
Cancelling a pending LinkedIn connection request. SocialScalr auto-withdraws unanswered invites after a configurable acceptance window (default 14 days) to keep your pending queue healthy. A bloated pending queue blocks new invites.
Extracting lead data (name, title, company, location, profile URL) from a LinkedIn search results page or company employee list. SocialScalr scrapes are paginated and throttled to look like normal browsing.
The interval at which the SocialScalr extension polls the dashboard for queued actions. Default ~30 seconds. The heartbeat also reports completed action results back to the dashboard so the Pipeline and Insights views stay current.
A per-user secret that authenticates the SocialScalr Chrome extension (and any third-party REST integration) to the SocialScalr backend. Rotatable from Settings — the old token stops working immediately after rotation.
An outbound HTTPS POST that SocialScalr fires to a customer-provided URL when an event occurs (e.g. lead.invited, lead.replied, post.published). Payloads are signed with HMAC-SHA256 in the X-SocialScalr-Signature header.
The SocialScalr competitive-intelligence module that tracks competitor companies and target profiles for new posts, hiring signals, and profile changes. Watchtower scans run on the extension's regular scan window and surface findings in the dashboard with one-click actions.
The specific definition of who you're targeting - role, seniority, industry, company size, geography, and any other filter that narrows your addressable universe. A well-defined ICP raises LinkedIn acceptance by 2-3x because the message becomes specific instead of generic. "VPs of Marketing at B2B SaaS Series A-C in North America" is an ICP. "Marketing leaders" is not.
A go-to-market motion that targets a defined list of named accounts (typically 30-200) with personalised, multi-stakeholder touches rather than wide ICP-based outreach. AEs run ABM; SDRs typically run wider ICP campaigns. ABM messages are hand-written per account; ICP messages can use templates.
Engaging multiple stakeholders at the same target account - typically the economic buyer, an internal champion, and a power user - rather than relying on a single contact. Lifts deal close rate by ~40-60% in B2B SaaS because deals where the champion leaves or the budget moves don't immediately die. SocialScalr's Pipeline view shows the multi-thread gap per account.
The cold-email equivalent of LinkedIn warm-up. Gradually increasing the volume of outbound mail from a new sending domain over 2-4 weeks while exchanging mail with seed inboxes to build sender reputation and avoid spam folder placement. Tools like Lemwarm, Mailwarm, and Smartlead's built-in warm-up automate this.
The time a lead spends on a stage before advancing. Dwell time in 'connected' over 14 days predicts that the follow-up sequence isn't converting and the message needs to be rewritten. SocialScalr's Insights tab surfaces dwell-time distributions per stage so you can spot the bottleneck stage.
A lead that has expressed enough interest - via content engagement, form fill, or LinkedIn reply - to warrant SDR follow-up but not yet a sales conversation. In SocialScalr terms, leads that reach the 'replied' stage are typically MQLs awaiting SDR or AE qualification.
A lead that has been vetted by an SDR or AE and confirmed to have budget, authority, need, and timing (BANT) or equivalent. Typically book a discovery call before becoming an SQL. SQLs are the leads forecasted in pipeline; MQLs are pre-pipeline.
Budget, Authority, Need, Timing. A four-question qualification framework used to decide if a lead is ready for a sales conversation. Originated at IBM in the 1960s. Still widely used in B2B sales, though increasingly supplemented by MEDDIC for complex enterprise deals where the criteria are more nuanced.
Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion. A six-element sales qualification framework used by enterprise sales teams to validate deal-readiness on six-figure-plus opportunities. The "Champion" element is the most predictive of close - no internal champion typically means no deal.
The percentage of cold emails or LinkedIn DMs that get opened or read. LinkedIn DM open rate runs around 85% because DMs are short and visible in-feed; cold-email open rate runs 22-34% in 2026 (down from 35-50% a few years ago, due to Apple Mail privacy + folder triage).
A syntax for randomising message variants. Writing {Hi|Hey|Hello} {first_name} produces a random pick of greeting each send. Used to avoid identical-message spam filters and reduce the templated feel. SocialScalr supports spintax in connection notes and follow-up messages.
The drop-off rate in reply or open rates after the first follow-up touch. LinkedIn DM decay: first follow-up 18% reply, second 9%, third 4%. Beyond the third follow-up, additional touches lose value rapidly. Smart sequences stop at 3-4 touches rather than annoying the lead.
For cold email: the percentage of sends that land in the primary inbox versus spam, Gmail Promotions, Outlook's Focused folder, or outright rejected. Healthy inbox placement is 80%+. Below 60% is a sender-reputation problem - usually domain warmup, SPF/DKIM/DMARC, or complaint-rate driven.
A shared document between a sales rep and a buyer that lists every step from the current call to the contract signing, with dates and owners on each side. Used in mid-market and enterprise B2B to keep deals on track. Signals deal seriousness; a buyer who refuses to co-build one is rarely closing.